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Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis

dc.creatorLevis, Brookees_ES
dc.creatorBenedetti, Andreaes_ES
dc.creatorIoannidis, John P.A.es_ES
dc.creatorSun, Yinges_ES
dc.creatorNegeri, Zelalemes_ES
dc.creatorHe, Chenes_ES
dc.creatorWu, Yines_ES
dc.creatorKrishnan, Ankures_ES
dc.creatorBhandari, Parash Manies_ES
dc.creatorNeupane, Dipikaes_ES
dc.creatorImran, Mahrukhes_ES
dc.creatorRice, Danielle B.es_ES
dc.creatorRiehm, Kira E.es_ES
dc.creatorSaadat, Nazanines_ES
dc.creatorAzar, Marleinees_ES
dc.creatorBoruff, Jilles_ES
dc.creatorCuijpers, Pimes_ES
dc.creatorGilbody, Simones_ES
dc.creatorKloda, Lorie A.es_ES
dc.creatorMcMillan, Deanes_ES
dc.creatorPatten, Scott B.es_ES
dc.creatorShrier, Ianes_ES
dc.creatorZiegelstein, Roy C.es_ES
dc.creatorAlamri, Sultan H.es_ES
dc.creatorAmtmann, Dagmares_ES
dc.creatorAyalon, Liates_ES
dc.creatorBaradaran, Hamid R.es_ES
dc.creatorBeraldi, Annaes_ES
dc.creatorBernstein, Charles N.es_ES
dc.creatorBhana, Arvines_ES
dc.creatorBombardier, Charles H.es_ES
dc.creatorCarter, Gregoryes_ES
dc.creatorChagas, Marcos H.es_ES
dc.creatorChibandaf, Dixones_ES
dc.creatorCloverd, Kerriees_ES
dc.creatorConwellg, Yeateses_ES
dc.creatorDiez-Quevedo, Crisantoes_ES
dc.creatorFannj, Jesse R.es_ES
dc.creatorFischer, Felix H.es_ES
dc.creatorGholizadehl, Leilaes_ES
dc.creatorGibson, Lorna J.es_ES
dc.creatorGreenn, Eric P.es_ES
dc.creatorGreeno, Catherine G.es_ES
dc.creatorHall, Brian J.es_ES
dc.creatorHaroz, Emily E.es_ES
dc.creatorIsmail, Khalidaes_ES
dc.creatorJetté, Nathaliees_ES
dc.creatorKhamseh, Mohammad E.es_ES
dc.creatorKwan, Yunxines_ES
dc.creatorLara, Maria Asaunciónes_ES
dc.creatorLiu, Shen-Inges_ES
dc.creatorLoureiro, Sonia R.es_ES
dc.creatorLöwe, Berndes_ES
dc.creatorMarrie, Ruth Annes_ES
dc.creatorMarsh, Lauraes_ES
dc.creatorMcGuire, Anthonyes_ES
dc.creatorMuramatsu, Kumikoes_ES
dc.creatorNavarrete, Lauraes_ES
dc.creatorOsório, Flávila L.es_ES
dc.creatorPetersen, Ingees_ES
dc.creatorPicardi, Angeloes_ES
dc.creatorPugh, Stephanie L.es_ES
dc.creatorQuinn, Terence J.es_ES
dc.creatorRooney, Alasdair G.es_ES
dc.creatorShinn, Eileen H.es_ES
dc.creatorSidebottom, Abbeyes_ES
dc.creatorSpangenberg, Lenaes_ES
dc.creatorTan, Pei Lin Lynnettees_ES
dc.creatorTaylor-Rowan, Martines_ES
dc.creatorTurner, Alynaes_ES
dc.creatorWeert, Henk C. vanes_ES
dc.creatorVöhringer, Paul A.es_ES
dc.creatorWagner, Lynne I.es_ES
dc.creatorWhite, Jenniferes_ES
dc.creatorWinkley, Kirstyes_ES
dc.creatorThombs, Brett D.es_ES
dc.date2020
dc.date.accessioned2023-09-04T20:09:42Z
dc.date.available2023-09-04T20:09:42Z
dc.date.issued2020
dc.identifierJC26DIEP20es_ES
dc.identifier.issn0895-4356
dc.identifier.urihttp://repositorio.inprf.gob.mx/handle/123456789/7751
dc.identifier.urihttps://doi.org/10.1016/j.jclinepi.2020.02.002
dc.descriptionObjectives: Depression symptom questionnaires are not for diagnostic classification. Patient Health Questionnaire-9 (PHQ-9) scores ≥10 are nonetheless often used to estimate depression prevalence. We compared PHQ-9 ≥10 prevalence to Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (SCID) major depression prevalence and assessed whether an alternative PHQ-9 cutoff could more accurately estimate prevalence. Study design and setting: Individual participant data meta-analysis of datasets comparing PHQ-9 scores to SCID major depression status. Results: A total of 9,242 participants (1,389 SCID major depression cases) from 44 primary studies were included. Pooled PHQ-9 ≥10 prevalence was 24.6% (95% confidence interval [CI]: 20.8%, 28.9%); pooled SCID major depression prevalence was 12.1% (95% CI: 9.6%, 15.2%); and pooled difference was 11.9% (95% CI: 9.3%, 14.6%). The mean study-level PHQ-9 ≥10 to SCID-based prevalence ratio was 2.5 times. PHQ-9 ≥14 and the PHQ-9 diagnostic algorithm provided prevalence closest to SCID major depression prevalence, but study-level prevalence differed from SCID-based prevalence by an average absolute difference of 4.8% for PHQ-9 ≥14 (95% prediction interval: -13.6%, 14.5%) and 5.6% for the PHQ-9 diagnostic algorithm (95% prediction interval: -16.4%, 15.0%). Conclusion: PHQ-9 ≥10 substantially overestimates depression prevalence. There is too much heterogeneity to correct statistically in individual studies.es_ES
dc.formatPDFes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation122:115-128.e1
dc.rightsAcceso Cerradoes_ES
dc.titlePatient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysises_ES
dc.typeArtículoes_ES
dc.contributor.affiliationLady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada.
dc.contributor.emailbrett.thombs@mcgill.ca (B.D. Thombs)
dc.relation.jnabreviadoJ CLIN EPIDEMIOL
dc.relation.journalJournal of Clinical Epidemiology
dc.identifier.placeEstados Unidos
dc.date.published2020
dc.identifier.organizacionInstituto Nacional de Psiquiatría Ramón de la Fuente Muñiz
dc.identifier.eissn1878-5921
dc.identifier.doi10.1016/j.jclinepi.2020.02.002
dc.subject.kwDepression prevalence
dc.subject.kwPHQ-9
dc.subject.kwSCID
dc.subject.kwIndividual participant data meta-analysis


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